DocumentCode :
3639319
Title :
Correlation analysis of facial features and sign gestures
Author :
Zdeněk Krňoul;Marek Hrúz;Pavel Campr
Author_Institution :
Department of Cybernetics, Faculty of Applied Sciences University of West Bohemia, Plzeň
fYear :
2010
Firstpage :
732
Lastpage :
735
Abstract :
In this paper we focus on the potential correlation of the manual and the non-manual component of sign language. This information is useful for sign language analysis, recognition and synthesis. We are mainly concerned with the application for sign synthesis. First we extracted features that represent the manual and non-manual component. We present a simple but robust method for the hand tracking to obtain a 2D trajectory representing a portion of the manual component. The head is tracked via Active Appearance Model. We introduce initial experiments to reveal the relationship between these features. The procedure is verified on the corpus of isolated signs from Czech Sign Language. The results imply that the components of sign language are correlated. The most correlated signals are the vertical movement of head and hands.
Keywords :
"Face","Manuals","Correlation","Shape","Active appearance model","Handicapped aids","Feature extraction"
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655761
Filename :
5655761
Link To Document :
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